A Comparison of Methods for Poverty Estimation in Developing Countries

DOI10.1111/insr.12314OpenAlexW2962592897WikidataQ128189603 ScholiaQ128189603MaRDI QIDQ6086621

Stephen J. Haslett, Sumonkanti Das

Publication date: 10 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12314

zbMATH Keywords

small area estimationM-quantileempirical best predictionELLunit record census data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Estimation of poverty and inequality in small areas: review and discussion ⋮ Regression trees for poverty mapping

Cites Work

• Small area estimation of poverty indicators
• M-quantile models with application to poverty mapping
• Non-parametric bootstrap mean squared error estimation for \(M\)-quantile estimators of small area averages, quantiles and poverty indicators
• ROBUST ESTIMATION OF SMALL-AREA MEANS AND QUANTILES
• Small Area Estimation
• A Class of Decomposable Poverty Measures
• Bootstrap mean squared error of a small-area EBLUP
• M-quantiles
• Estimating distribution functions from survey data
• Micro-Level Estimation of Poverty and Inequality
• M-quantile models for small area estimation

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